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About the Autonomy Team:
- Work with experts in AI, perception, machine learning, and controls on high-impact initiatives.
- Tackle research challenges in autolabeling, long range perception, and deep decision making.
- Develop distributed, multi-stage ML architectures for autonomous systems.
Minimum Qualifications:
- Enrolled in a PhD program (3+ years preferred) with strong Python or C++ skills.
- Experience with PyTorch and SOTA deep learning techniques like multi-modal models.
- Ability to develop, train, and validate AI/CV/ML models in a team environment.
Preferred Qualifications:
- Research excellence shown by publications at top conferences like CVPR or ICRA.
- Strong track record of published research and prior internship or open source contributions.
- Experience with software engineering and cross-functional communication.
Stack
Stack develops revolutionary AI and autonomous systems to enhance safety and efficiency in trucking. As an early-stage startup, they foster a culture of inclusion, entrepreneurship, and innovation with a small team.